The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the ne...The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’attention.First,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is adopted.Then,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as followers.Its equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention pricing.Moreover,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is demonstrated.Finally,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different conditions.This study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.展开更多
This paper presents autonomous docking of an inhouse built resident Remotely Operated Vehicle(ROV),called Rover ROV,through acoustic guided techniques.A novel cage-type docking station has been developed.The docking s...This paper presents autonomous docking of an inhouse built resident Remotely Operated Vehicle(ROV),called Rover ROV,through acoustic guided techniques.A novel cage-type docking station has been developed.The docking station can be placed on a deep-sea lander,taking the Rover ROV to the seafloor.Instead of using vision-based pose estimation techniques and expensive navigation sensors,the Rover ROV docking adopts an ultra-short baseline(USBL)and low-cost inertial sensors to build an adaptive fault-tolerant integrated navigation system.To solve the problem of sonar-based failure positioning,the measurement residuals are exploited to detect measurement faults.Then,an adaptation scheme for estimating the statistical characteristics of noise in real-time is proposed,which can provide robust and smooth positioning results.It is more suitable for a compact and low-cost deep-sea resident ROV.Field experiments have been conducted successfully in the Qiandao Lake and the South China Sea area with a depth of 3000 m,respectively.The experimental results show that the functionality of autonomous docking has been achieved.Under the guidance of the navigation system,the Rover ROV can autonomously and efficiently return to the docking station within a range of 100 m even when the amounts of outliers exist in the acoustic positioning data.These achievements can be applied to current ROVs by an easy retrofit.展开更多
Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous e...Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous entities and interactions. To develop such system needs high-level metaphors and effective mechanisms independent of physical and technical details of various robots.The paper presents a multi-agent organization approach to developing autonomous robot software that is modelled as social organization, in which each agent is bound to specific roles with specified responsibilities that are tightly related with robot’s characteristics and tasks. These agents form diverse organization structure and patterns to achieve flexible cooperation in order to achieve assigned tasks. The paper details multi-agent organization model of autonomous robot software and various roles in the model. We have implemented a framework called AutoRobot that realizes the approach and supports the development and running of autonomous robot software. A case is studied by using NAO robot to show the effectiveness of our proposed approach.展开更多
Based on the Tibet Autonomous Region's statistic yearbooks and the data fromthe two household surveys in 2002 and 2004, this paper has comprehensively analyzed the pattern ofchanges on the farmers and herdsmen'...Based on the Tibet Autonomous Region's statistic yearbooks and the data fromthe two household surveys in 2002 and 2004, this paper has comprehensively analyzed the pattern ofchanges on the farmers and herdsmen's income sources in the Tibet Autonomous Region since 1990 withthe main findings as follows; (1) The change of income from the labor payment is the fastest; (2)There is no regular pattern of income variation for the household economic activities, the farmersand herdsmen's household incomegeneration projects are impacted by the elements like prices andreturns, and there is a lack of appropriate direction; (3) The income structure of labor paymentshows that the income from the farmers and herdsmen working outside grows fastest; (4) The incomefrom the farmers and herdsmen's labor payment correlate positively to their net income per capita;(5) From the perspective of the variation by region, labor payment income has changed fastest in thecounties of Rutok, Nyerong and Khangmar comparedthe data from the household survey in 2002 withthat of 2004.展开更多
Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their defi...Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their definitions,characteristics,and emerging developments.Existing definitions in the literature hardly recognize common functionalities and intermingle coded DAOs,DAO deployment platforms,and blockchain DAOs.We developed a comprehensive DAO definition by reviewing the literature and empirically analyzing 1,859 DAOs.The findings show that many DAOs were inactive and that a threshold of 20 tokenholders is a tipping point for DAOs to survive over time and maintain sustained levels of activity.Finally,based on an empirical analysis of 9,845 perceived DAOs,we identified the emerging development of off-chain voting.This emerging development challenges the autonomous nature of DAOs.We recommend further research to investigate the effect of governance structures on their long-term sustainability and viability for both on-chain and off-chain DAOs.展开更多
目的探讨多模态影像融合(multimodal image fusion,MMIF)辅助以案例为基础的教学法(case based learning,CBL)对心血管内科住院医师规范化培训(简称住培)效果的影响。方法选择2021年10月—2022年10月在南京医科大学第一附属医院心血管...目的探讨多模态影像融合(multimodal image fusion,MMIF)辅助以案例为基础的教学法(case based learning,CBL)对心血管内科住院医师规范化培训(简称住培)效果的影响。方法选择2021年10月—2022年10月在南京医科大学第一附属医院心血管内科轮转的住院医师为研究对象,共60名。根据不同轮转时间将2021年10月—2022年3月进行轮转医师设为对照组,共27名;将2022年4月—2022年10月进行轮转的医师设为观察组,共33名。对照组予以常规教学模式,观察组行MMIF辅助CBL教学法,2组教学均持续2个月。于教学前后,评估2组的理论知识、实践能力、自主学习能力和临床思维能力;评估2组医师的教学满意度。结果观察组满意度高于对照组(96.67%vs.77.78%),差异有统计学意义(P<0.05)。带教后,2组理论知识、实践能力评分、自主学习能力和临床思维能力评分均升高,且观察组高于对照组,差异有统计学意义(P<0.05)。结论MMIF辅助CBL教学法在心血管内科住培中的效果较好,可提高学员的理论成绩、实践能力和自主学习能力,培养其临床思维能力。展开更多
Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasing...Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasingly popular,such as Aragon and Colony.Selecting the best fitting platform is challenging for organizations,as a significant number of decision criteria,such as popularity,developer availability,governance issues and consistent documentation of such platforms,should be considered.Additionally,decision-makers at the organizations are not experts in every domain,so they must continuously acquire volatile knowledge regarding such platforms.Objective:Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study.We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model.Method:This study presents a decision model for the decentralized autonomous organization platform selection problem.The decision model captures knowledge regarding such platforms and concepts systematically.This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production.Results:We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers.The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort.Conclusion:We observe in the empirical evidence from the case studies that decision-makers can make more rational,efficient,and effective decisions with the decision model.Furthermore,the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations.展开更多
基金supported by the National Natural Science Foundation of China(62103411)the Science and Technology Development Fund of Macao SAR(0093/2023/RIA2,0050/2020/A1)。
文摘The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’attention.First,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is adopted.Then,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as followers.Its equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention pricing.Moreover,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is demonstrated.Finally,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different conditions.This study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.
基金financially supported by the National Key R&D Program of China (Grant No. 2017YFC0306402)the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA22040102)
文摘This paper presents autonomous docking of an inhouse built resident Remotely Operated Vehicle(ROV),called Rover ROV,through acoustic guided techniques.A novel cage-type docking station has been developed.The docking station can be placed on a deep-sea lander,taking the Rover ROV to the seafloor.Instead of using vision-based pose estimation techniques and expensive navigation sensors,the Rover ROV docking adopts an ultra-short baseline(USBL)and low-cost inertial sensors to build an adaptive fault-tolerant integrated navigation system.To solve the problem of sonar-based failure positioning,the measurement residuals are exploited to detect measurement faults.Then,an adaptation scheme for estimating the statistical characteristics of noise in real-time is proposed,which can provide robust and smooth positioning results.It is more suitable for a compact and low-cost deep-sea resident ROV.Field experiments have been conducted successfully in the Qiandao Lake and the South China Sea area with a depth of 3000 m,respectively.The experimental results show that the functionality of autonomous docking has been achieved.Under the guidance of the navigation system,the Rover ROV can autonomously and efficiently return to the docking station within a range of 100 m even when the amounts of outliers exist in the acoustic positioning data.These achievements can be applied to current ROVs by an easy retrofit.
文摘Software of autonomous robot is a complex physical and social technical system that is context-aware, autonomous and capable of self-management to achieve tasks. It typically consists of a large amount of autonomous entities and interactions. To develop such system needs high-level metaphors and effective mechanisms independent of physical and technical details of various robots.The paper presents a multi-agent organization approach to developing autonomous robot software that is modelled as social organization, in which each agent is bound to specific roles with specified responsibilities that are tightly related with robot’s characteristics and tasks. These agents form diverse organization structure and patterns to achieve flexible cooperation in order to achieve assigned tasks. The paper details multi-agent organization model of autonomous robot software and various roles in the model. We have implemented a framework called AutoRobot that realizes the approach and supports the development and running of autonomous robot software. A case is studied by using NAO robot to show the effectiveness of our proposed approach.
文摘Based on the Tibet Autonomous Region's statistic yearbooks and the data fromthe two household surveys in 2002 and 2004, this paper has comprehensively analyzed the pattern ofchanges on the farmers and herdsmen's income sources in the Tibet Autonomous Region since 1990 withthe main findings as follows; (1) The change of income from the labor payment is the fastest; (2)There is no regular pattern of income variation for the household economic activities, the farmersand herdsmen's household incomegeneration projects are impacted by the elements like prices andreturns, and there is a lack of appropriate direction; (3) The income structure of labor paymentshows that the income from the farmers and herdsmen working outside grows fastest; (4) The incomefrom the farmers and herdsmen's labor payment correlate positively to their net income per capita;(5) From the perspective of the variation by region, labor payment income has changed fastest in thecounties of Rutok, Nyerong and Khangmar comparedthe data from the household survey in 2002 withthat of 2004.
文摘Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations(DAOs),there is no consensus on what constitutes a DAO.This paper provides an in-depth study of DAOs by analyzing their definitions,characteristics,and emerging developments.Existing definitions in the literature hardly recognize common functionalities and intermingle coded DAOs,DAO deployment platforms,and blockchain DAOs.We developed a comprehensive DAO definition by reviewing the literature and empirically analyzing 1,859 DAOs.The findings show that many DAOs were inactive and that a threshold of 20 tokenholders is a tipping point for DAOs to survive over time and maintain sustained levels of activity.Finally,based on an empirical analysis of 9,845 perceived DAOs,we identified the emerging development of off-chain voting.This emerging development challenges the autonomous nature of DAOs.We recommend further research to investigate the effect of governance structures on their long-term sustainability and viability for both on-chain and off-chain DAOs.
文摘目的探讨多模态影像融合(multimodal image fusion,MMIF)辅助以案例为基础的教学法(case based learning,CBL)对心血管内科住院医师规范化培训(简称住培)效果的影响。方法选择2021年10月—2022年10月在南京医科大学第一附属医院心血管内科轮转的住院医师为研究对象,共60名。根据不同轮转时间将2021年10月—2022年3月进行轮转医师设为对照组,共27名;将2022年4月—2022年10月进行轮转的医师设为观察组,共33名。对照组予以常规教学模式,观察组行MMIF辅助CBL教学法,2组教学均持续2个月。于教学前后,评估2组的理论知识、实践能力、自主学习能力和临床思维能力;评估2组医师的教学满意度。结果观察组满意度高于对照组(96.67%vs.77.78%),差异有统计学意义(P<0.05)。带教后,2组理论知识、实践能力评分、自主学习能力和临床思维能力评分均升高,且观察组高于对照组,差异有统计学意义(P<0.05)。结论MMIF辅助CBL教学法在心血管内科住培中的效果较好,可提高学员的理论成绩、实践能力和自主学习能力,培养其临床思维能力。
基金funded in part by the HTSM HiTMaT Grant entitled"SearchSECO"。
文摘Context:Decentralized autonomous organizations are a new form of smart contract-based governance.Decentralized autonomous organization platforms,which support the creation of such organizations,are becoming increasingly popular,such as Aragon and Colony.Selecting the best fitting platform is challenging for organizations,as a significant number of decision criteria,such as popularity,developer availability,governance issues and consistent documentation of such platforms,should be considered.Additionally,decision-makers at the organizations are not experts in every domain,so they must continuously acquire volatile knowledge regarding such platforms.Objective:Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study.We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model.Method:This study presents a decision model for the decentralized autonomous organization platform selection problem.The decision model captures knowledge regarding such platforms and concepts systematically.This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production.Results:We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers.The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort.Conclusion:We observe in the empirical evidence from the case studies that decision-makers can make more rational,efficient,and effective decisions with the decision model.Furthermore,the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations.